RapidMiner Studio is a data science and data mining platform from RapidMiner in Cambridge, Massachusetts.https://dudodiprj2sv7.cloudfront.net/product-logos/Ml/Sp/1I8F3M7ECZNW.pngRapidMinerData Analytics for Marketing—yes, it can be done2018-10-15T14:40:17.567ZWe in marketing currently use RapidMiner studio to help with predictive analytics for our direct mail program as well as text mining for our call transcripts.,I am very impressed at how easily you can work within RapidMiner without much data analytics training. Plus with the help of the crowd, you can see what steps others have taken with their data analytics projects.
Text mining was simple and clean. We used this for our call transcription problem where we didn't have the resources to listen to each call. We needed to qualify each call based on some key phrases.
Our direct mail program was large and not very targeted. Using RapidMiner, we were able to isolate a predictive level we felt comfortable with and decided not to send to anyone below that level. We saved quite a bit of money.,Basic data cleaning is always a problem that RapidMiner might solve, but I am not aware of it.,10,We saved over $100k on our direct mail program by not mailing to those unlikely to respond to our mailings based on our predictive analysis.
Our CX team has saved countless hours by automating call scripts to isolate key phrases and code each call.,Tableau Desktop, Google Data Studio and Microsoft Power BI,Microsoft 365 Business, OneNote, TrelloSue BennettRapidMiner as Educational Data Mining Tool2018-08-29T19:22:59.385ZWe use RapidMiner as the central data science platform to teach data analytics and machine learning. We are using RapidMiner for real-world analyses. Currently, to the best of my knowledge, only my department is using RapidMiner for teaching while others are using R, SPSS or WEKA for educating data mining. Our business is in education, and therefore, our primary concern is finding the most effective way of learning analytics – both data handling and algorithms.,The RapidMiner provides a rich set of Machine Learning algorithms for Data Mining tasks, along with a comprehensive set of operators (functions) for data pre-processing. RapidMiner has a repository containing hundreds of machine learning algorithms and functions.
RapidMiner is easy to use because RapidMiner is a user-friendly visual workflow designer software. Visualization of the process really helps users with data preparation and modelling. It makes my job easier in teaching machine learning and predictive analytics because I can show them the role of each operator and which one is vital in getting the right model. Students can directly see and understand the effect of using specific algorithms and functions after a few clicks, drags and drops. RapidMiner is something quick and easy to master.
It is FREE! RapidMiner is available for free for educational use. I have been using RapidMiner for about three years, and I have never encountered any problem in renewing my license. The Educational Program License lasts for a year. My students have never complained about RapidMiner as the customer support is very efficient.
RapidMiner Marketplace: If there are 'missing algorithm' from the RapidMiner library, we always can install extensions from the RapidMiner Marketplace. For example, I can access an extra about 100 additional modelling schemes after installing the WEKA extension. What ever the tasks are, if the required algorithm or functions are not available in the RapidMiner repository of ML algorithms, I can always find it in the marketplace.,I hope RapidMiner would be the first data science platform that allows data scientists to change the behaviour of a machine learning algorithm that already exists in the repository. For example, I want to be able to change the way a genetic algorithm mutates.
Automatic programming: One day, I hope RapidMiner can automatically generate codes in any 4th generation programming language based on the developed model.
More tutorials/samples needed: Why doesn't RapidMiner becomes the next 'UC Irvine Machine Learning Repository'? Provide real examples and real cases for users to study and understand the best practices in modelling. RapidMiner already has some datasets for a tutorial. Besides the existing samples, I hope RapidMiner can provide more sample data and examples.,9,As an educator, I do not seek a monetary return on any investment. What we seek as a lecturer is by looking into the outcomes like greater student learning, higher grades, or an increased number of students enrolment. Since RapidMiner is FREE for education, the first outcome I see is RapidMIner has enhanced learning and teaching analytics. Students become excited to learn analytics because they have the opportunity to use RapidMiner which is known to them as an expensive global brand and sophisticated tool.
The second outcome is time spent to learn using an analytic tool become shorter compared to the previous platform. Therefore, we can learn more about other aspects of data analytics rather than focusing on how to use a tool.
The third outcome is the program reputation. According to a study conducted by Maureen A. Conard, Sacred Heart University, has found that two variables, large percentage of graduates in successful careers and up-to-date technological facilities, were rated as very likely to be associated with very good academic reputation. RapidMiner is a Leader in the 2018 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. Therefore, associating our academic program with the international brand like RapidMiner has enhanced our academic program reputation.,,Tableau DesktopMohd Zakree Ahmad NazriData admirer's playroom - RapidMiner Studio2018-08-16T15:52:19.269ZAptus Data Labs is based out of Bangalore, India. We are a Big Data and Advanced Analytics company, providing consulting and project delivery services &amp; solutions, catering to enterprises of all sizes, across different industries such as Healthcare, Retail &amp; Consumer Industries, BFSI, Manufacturing &amp; Supply Chain.
Since we are into advanced analytics, most of our solutions are delivered using RapidMiner. As a result of which, most of the employees in the organization use RapidMiner. We have dedicated developers for building extensions for RapidMiner as well. Some of the business problems built using RapidMiner are:
Fraud analysis for Banking and Financial industriesClaim and travel analytics for a manufacturing firmText mining and text analytics for a pharmaceutical firm and many other organizationsOptimization for e-commerce and manufacturing firmSupply chain management for manufacturingSupply chain planning and scheduling for oil and gas companies,A great tool to start exploring data science and machine learning. Its intuitive GUI, tutorials, help window, sample processes, and recommendations make it the best place to learn and expand your knowledge horizon.
RapidMiner is an expert in building end to end solutions. Creating a process in the studio and then running it in production using the server is easy and fast. And also using web services, we can integrate the solution into an organization's in-house application or create a new web application in RapidMiner server. This makes solution delivery faster compared to R and Python.
Text mining and analytics capability in RapidMiner. I think text processing is very easy here. Using Rosette and deep learning extensions, I have delivered such great solutions.
Smart Automations like automatically identifying parameter values, auto model and turbo prep etc. saves a lot of time and provide better results,RapidMiner Server- It is very basic in terms of appearance. Web Apps can be improved by providing default themes and it needs a lot more features to be added.
Multi-process window in RapidMiner Studio. Multiple design view can be added for switching between processes and model building can be made easier.
Git Integration for version control. We have something called MyExperiment in RapidMiner but it is far from Git. But if we could have git integration, multiple users can work on the same process and this version control can help to refer previous solutions as well.
Graphs in RapidMiner Studio are a bit old fashioned,9,From an organization's point of view, we have been able to deliver better and quicker solutions. Thus saving a lot of time and investing in other projects.,KNIME Analytics Platform and Alteryx Analytics,Microsoft Power BI, Talend Data Integration, MapRSheetal SahuRapidMiner, the Best Features for ML2018-08-24T17:50:01.244ZDisperSurance is the radical disruptive substitute for
insurance. We don’t sell insurance, we sell “risk coverage”. We have been using
RapidMiner in traditional insurance company data to:
1.
Identify optimization and automation opportunities
in all the insurance processes. Moreover, we had created special extensions for
the most important processes.
2.
Fraud detection.
3.
Determining the most profitable e-commerce
strategies for selling policies.
We have been able to design new Risk Coverage products that
are as low as 70% cheaper than traditional insurance.,RapidMiner has a very large ML algorithms library and excellent tools for automated optimization of those algorithms.
Is one of the best tools I know for text mining and analytics. It’s not only very powerful but also very intuitive and easy to use.
Since it’s is very easy to pass from design to production, it’s an excellent tool for building and testing complete models.,It should improve it friendliness with using multimedia (video, pictures, audio). For instance, is not easy to connect between raw audio and its related text data for analytics.
It also should improve it interface design and intuitiveness. Its design isn’t very motivational and sometimes it’s hard to find some key operators.
It should improve the capabilities to integrate RapidMiner to third party applications.,9,Our team has learnt how to work very efficiently with RapidMiner, reducing our developing cots by 9,2 %.
We have been able to discover cost reduction potentialities in the main Risk Coverage processes (from buying an insurance policy to paying a claim) between 5 % and 65 %.
The ROI of using is exponential, far above 1,000 %.,IBM SPSS Modeler, KNIME Analytics Platform, Alteryx Analytics and Tableau Server,TensorFlow, Microsoft Azure Machine Learning Workbench, Google Cloud AIMauricio Quiroga-Pascal OrtegaRapidMiner is rapid, easy and fun2018-08-16T18:03:38.022ZI use RapidMiner it to process data from our clients mainly Telecom and Banking and I also use a version of RapidMiner purchased by our business partner at their site for their clients. I use it in my company and no on else and I advise my clients to purchase RapidMiner. I currently don't have employees that use RapidMiner.,Build a model
Validate a model
See how accurate our predictions are
We prefer to use our own coding to clean the data since we use huge databases using MySQL, Oracle or MS-SQL
We use the visualization tools of RapidMiner to analyze the data,The graphics of the charts needs some work. Sometimes it is hard to read on high resolution screens
Sometimes it is hard to find the operators
The interface is far from the standards of Office or Microsoft in general.,10,So far we used the free version.
It did all what we needed.
We ask the client to purchase a version for deployment,H2O,Microsoft Office 2016, MySQL, Microsoft Power BICyril Joudieh

I am very impressed at how easily you can work within RapidMiner without much data analytics training. Plus with the help of the crowd, you can see what steps others have taken with their data analytics projects.

Text mining was simple and clean. We used this for our call transcription problem where we didn't have the resources to listen to each call. We needed to qualify each call based on some key phrases.

Our direct mail program was large and not very targeted. Using RapidMiner, we were able to isolate a predictive level we felt comfortable with and decided not to send to anyone below that level. We saved quite a bit of money.

We use RapidMiner as the central data science platform to teach data analytics and machine learning. We are using RapidMiner for real-world analyses. Currently, to the best of my knowledge, only my department is using RapidMiner for teaching while others are using R, SPSS or WEKA for educating data mining. Our business is in education, and therefore, our primary concern is finding the most effective way of learning analytics – both data handling and algorithms.

The RapidMiner provides a rich set of Machine Learning algorithms for Data Mining tasks, along with a comprehensive set of operators (functions) for data pre-processing. RapidMiner has a repository containing hundreds of machine learning algorithms and functions.

RapidMiner is easy to use because RapidMiner is a user-friendly visual workflow designer software. Visualization of the process really helps users with data preparation and modelling. It makes my job easier in teaching machine learning and predictive analytics because I can show them the role of each operator and which one is vital in getting the right model. Students can directly see and understand the effect of using specific algorithms and functions after a few clicks, drags and drops. RapidMiner is something quick and easy to master.

It is FREE! RapidMiner is available for free for educational use. I have been using RapidMiner for about three years, and I have never encountered any problem in renewing my license. The Educational Program License lasts for a year. My students have never complained about RapidMiner as the customer support is very efficient.

RapidMiner Marketplace: If there are 'missing algorithm' from the RapidMiner library, we always can install extensions from the RapidMiner Marketplace. For example, I can access an extra about 100 additional modelling schemes after installing the WEKA extension. What ever the tasks are, if the required algorithm or functions are not available in the RapidMiner repository of ML algorithms, I can always find it in the marketplace.

I hope RapidMiner would be the first data science platform that allows data scientists to change the behaviour of a machine learning algorithm that already exists in the repository. For example, I want to be able to change the way a genetic algorithm mutates.

Automatic programming: One day, I hope RapidMiner can automatically generate codes in any 4th generation programming language based on the developed model.

More tutorials/samples needed: Why doesn't RapidMiner becomes the next 'UC Irvine Machine Learning Repository'? Provide real examples and real cases for users to study and understand the best practices in modelling. RapidMiner already has some datasets for a tutorial. Besides the existing samples, I hope RapidMiner can provide more sample data and examples.

RapidMiner has been used as a teaching aid in my classes, and I found it effective in educating data mining and analytics students. RapidMiner is well suited for any descriptive and predictive analytics because it has a pervasive set of machine learning algorithms, i.e. classification, regression, clustering, association rule mining, and other applications such as text mining. However, RapidMiner Studio is not yet designed for prescriptive analytics (i.e. solving optimization problem) such as solving scheduling, logistic route planning or bin packing problems. It has a great facility to find an optimal parameter for an algorithm but not yet for solving automatic scheduling and planning problems.

Aptus Data Labs is based out of Bangalore, India. We are a Big Data and Advanced Analytics company, providing consulting and project delivery services & solutions, catering to enterprises of all sizes, across different industries such as Healthcare, Retail & Consumer Industries, BFSI, Manufacturing & Supply Chain.

Since we are into advanced analytics, most of our solutions are delivered using RapidMiner. As a result of which, most of the employees in the organization use RapidMiner. We have dedicated developers for building extensions for RapidMiner as well. Some of the business problems built using RapidMiner are:

Fraud analysis for Banking and Financial industries

Claim and travel analytics for a manufacturing firm

Text mining and text analytics for a pharmaceutical firm and many other organizations

A great tool to start exploring data science and machine learning. Its intuitive GUI, tutorials, help window, sample processes, and recommendations make it the best place to learn and expand your knowledge horizon.

RapidMiner is an expert in building end to end solutions. Creating a process in the studio and then running it in production using the server is easy and fast. And also using web services, we can integrate the solution into an organization's in-house application or create a new web application in RapidMiner server. This makes solution delivery faster compared to R and Python.

Text mining and analytics capability in RapidMiner. I think text processing is very easy here. Using Rosette and deep learning extensions, I have delivered such great solutions.

RapidMiner Server- It is very basic in terms of appearance. Web Apps can be improved by providing default themes and it needs a lot more features to be added.

Multi-process window in RapidMiner Studio. Multiple design view can be added for switching between processes and model building can be made easier.

Git Integration for version control. We have something called MyExperiment in RapidMiner but it is far from Git. But if we could have git integration, multiple users can work on the same process and this version control can help to refer previous solutions as well.

RapidMiner is the best tool to build models on textual data. It is rich in ML algorithms and reduces the need to manually tune the parameters. It automatically optimizes them, thus providing a better solution. RapidMiner again extends great capability for data preparation, its insane connections to almost every data source pulls in the data easily into one environment. And it can comfortably perform data cleaning and process tasks over that.

RapidMiner is not so good with image, audio or video data. These data points cannot be used directly in their raw form. They must be transformed into some intermediate form for performing analytics over it. Moreover, there are no connectors to directly pull data from their varied sources. For example, we don't have a connector to read audio data directly from a switch and then convert it to text (although Google speech API is available for audio to text conversion.)

I use RapidMiner it to process data from our clients mainly Telecom and Banking and I also use a version of RapidMiner purchased by our business partner at their site for their clients. I use it in my company and no on else and I advise my clients to purchase RapidMiner. I currently don't have employees that use RapidMiner.

We are only 5 consultants. We are all using RapidMiner Studio in order to model machine learning structures for our clients. The problem we had before, for instance with Python code, is that it was really difficult for our clients to understand what we were doing exactly. Even when it is actually possible to build up visualization capacities in Python and R, RapidMiner gave us the option to do it so fast and accurately. I would love to see updates which can improve the graphical quality and precision, or prevent some graphical mistakes. For instance, it is very difficult to guess how much is too much when we have so many categories to diagram, sometimes saturates the space and reduces the explainability of the graphs. But still, AutoModel, Feature Engineering and the drag and drop method is wonderful to share our thoughts and discoveries about our clients reality and plans.

We use RapidMiner to run statistical algorithms on the data and answer questions which are not answered previously. It is currently used only in the business intelligence team in the company. We used RapidMiner Studio to analyze the client churning, client clustering, banker clustering and market basket analysis of the company products.

RapidMiner Studio is a great starting point if you want your organization to try and start using data science or statistics. It is easy to use and self explanatory. It also has some great built in algorithms. The Recommendations feature using crowd sourcing is amazing, and will guide with next steps in the process. It is more suitable for smaller data sets. We haven't tried with larger data sets yet, so try it beforehand if you want to use large data on it.

I currently use RapidMinder to do two things. First, to find patterns in Epilepsy Clinical Data. Second, to teach students machine learning tools.

So, in general, I'd say the business problem is research and education. I used it before to find patterns in protein interaction networks analysis. And I've taught several machine learning workshops using RapidMiner as a tool.

We utilize RapidMiner Studio in our analytics and IT department to assist our sales and marketing teams with predictive analytics using our CRM data. Predicting which opportunities contain properties and scenarios similar to winning opportunities from the past allows our sales teams to effectively focus on the ripe opportunities for wins soon and develop those opportunities which will need more time to mature through the sales process.

We have found that in the predictive space it does a great job. It also supports easy data standardization. These are all positives within a small team of analysts. We have not used it on a wide scale for the average user.

Individual analysts are using it to do analysis and predictive modeling of student-related data. The organization has other tools available, but RapidMiner allows for a nice shallow learning curve. Additionally, RapidMiner is being taught in at least one online program with the intention of spreading it to other institutions and departments.

My introduction to RapidMiner Studio began in 2014 when I decided to write a second edition of my data mining textbook. Although I was not familiar with RapidMiner Studio, I knew it to be a popular tool for data mining and analytics. My initial intention was to learn enough about RapidMiner Studio to provide the reader with an example or two of how it can be used. It soon became clear that I would use RapidMiner Studio for the majority of the tutorials and demonstrations in my book.

My textbook “Data Mining A Tutorial-Based Primer 2nd edition” contains 14 chapters two of which are devoted to RapidMiner Studio. Five additional chapters contain one or several data mining tutorials that use RapidMiner Studio 7. Here is a link to preview the text. https://www.crcpress.com/978149876397

RapidMIner Studio is very useful as a classroom tool for teaching students about data analytics. RapidMiner's workflow paradigm offers the user a very powerful analytics tool. Beginning students or students with limited computer experience may initially find the workflow paradigm difficult.

It's used by the information technology department. We have used logistic regression algorithm in our company in order to calculate a health risk factor based on different attributes from health care data. We accessed HL7 Hospital Data in SQL Server Management System and wrote queries to retrieve the required fields. We used a RapidMiner Data Mining Tool to perform predictive analysis on the data. We created a web form using HTML 5, CSS 3, Bootstrap and JavaScript which takes input of factors and predicts the risk factor.

Our business problem is to predict whether a member is having a high chance of coming to the hospital based on different factors like age, sex, zip code, marital status, the number of visits, diagnosis code etc.

If you have people on your team that are new to analytics and do not have programming experience in Sas, R or Python, RapidMiner is the way to go.

The module based approach of RapidMiner is very useful, they have a heavy community support and one of my favorite features is the suggestions they give by telling you that such and such step was the most common one used after a transformation or an import etc...

RapidMiner is great for people with no programming experience but I have found that certain tasks that would normally take very little code to do can often become very convoluted with RapidMiner. I am talking about tasks like filtering and subsetting and other transformation type tasks.

I personally used RapidMiner for one of the courses I had. We used it to gain more insights about the data that we had at hand. It allowed us to do a number of things like text mining, data analysis and machine learning. It did have a lot of machine learning algorithms compared to some other softwares.